Data Dictionary

ID
id
Typ
int4
Etikett
index

ID
date
Typ
date
Etikett
Date

ID
country_name
Typ
text
Etikett
Country Name

ID
alpha_3_code
Typ
text
Etikett
ISO Alpha 3 Code

ID
country_code
Typ
text
Etikett
Country Code

ID
region
Typ
text
Etikett
Region Name

ID
region_code
Typ
text
Etikett
Region Code

ID
sub_region
Typ
text
Etikett
Sub-Region Name

ID
sub_region_code
Typ
text
Etikett
Sub-Region Code

ID
hs_code
Typ
text
Etikett
Harmonized System Code

ID
commodity
Typ
text
Etikett
Commodity Name

ID
unit
Typ
text
Etikett
Unit of Quantity

ID
value_qt
Typ
numeric
Etikett
Quantity of commodity

ID
value_rs
Typ
numeric
Etikett
Value of commodity quantity in INR

ID
value_dl
Typ
numeric
Etikett
Value of commodity quantity in US Dollars

Mer information

Fält Värde
Data senast uppdaterad 8 maj 2025
Metadata senast uppdaterad 8 maj 2025
Skapad 23 oktober 2023
Format CSV
Licens Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://tradestat.commerce.gov.in/meidb/cntcomq.asp?ie=i
Data insightsData Insights that can be drawn: Trend Analysis: Examine the trends in imports from various Asian countries over time, analyzing seasonalities or growth trajectories. Trade Balances: Determine which commodities and countries contribute most significantly to the trade volume and value. Currency Analysis: Compare the value of commodities in USD vs. INR to deduce any significant currency fluctuations or patterns. Product Classification: Utilizing the HS code, identify the most commonly traded commodities or products and their relative contributions to total imports. Quantity vs. Value Analysis: Analyze whether there's a correlation between the quantity of a commodity and its value, understanding the commodities that offer high value despite low quantities and vice versa.
Data last updated2024-09-01
Data retreival date2025-02-27
Datastore activeTrue
FrequencyMonthly
GranularityCountry
Has viewsTrue
Id31e441c8-5767-4209-a7ef-dca32aff64a8
Idp readyTrue
Lgd mappingna
MethodologyThe data has been sourced from the official website of the Department of Commerce, Government of India, which provides a comprehensive trade database for various commodities. The dataset's methodology centers on the Harmonized System (HS code) - a globally standardized system for classifying traded products. This ensures a consistent and comparable framework for understanding and analyzing trade data.
Mimetypetext/csv
No indicators3
Package id0e64447e-7e57-4e17-ac2a-6b86944abfb2
Position3
Size355,5 MiB
Skumci-tradestat_import_lfy-cn-mn-asi
Stateactive
Tags['Trade Statistics', 'Asian Trade', 'Commodities', 'Harmonized System', 'Trade Value', 'Import Quantity', 'Currency Analysis']
Url typeupload
Years covered2017-2024
Methodology The data has been sourced from the official website of the Department of Commerce, Government of India, which provides a comprehensive trade database for various commodities. The dataset's methodology centers on the Harmonized System (HS code) - a globally standardized system for classifying traded products. This ensures a consistent and comparable framework for understanding and analyzing trade data.
Indicators
Similar Resources
Granularity Level Country
Data Extraction Page https://tradestat.commerce.gov.in/meidb/cntcomq.asp?ie=i
Data Retreival Date 2025-02-27
Data Last Updated 2024-09-01
Sku mci-tradestat_import_lfy-cn-mn-asi
Dataset Frequency Monthly
Years Covered 2017-2024
No of States/UT(s)
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Mer information nan
Number of Indicators 3
Insights from the dataset Data Insights that can be drawn: Trend Analysis: Examine the trends in imports from various Asian countries over time, analyzing seasonalities or growth trajectories. Trade Balances: Determine which commodities and countries contribute most significantly to the trade volume and value. Currency Analysis: Compare the value of commodities in USD vs. INR to deduce any significant currency fluctuations or patterns. Product Classification: Utilizing the HS code, identify the most commonly traded commodities or products and their relative contributions to total imports. Quantity vs. Value Analysis: Analyze whether there's a correlation between the quantity of a commodity and its value, understanding the commodities that offer high value despite low quantities and vice versa.
IDP Ready Yes
LGD Mapping Not Applicable
Mapping Status %
Geo Columns